{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "answering-former",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "infectious-upper",
   "metadata": {},
   "source": [
    "数据导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "confidential-tragedy",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
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       "  </thead>\n",
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       "      <td>4.13</td>\n",
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       "      <td>8.88</td>\n",
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       "      <td>4.16</td>\n",
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       "      <td>0</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0     1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1     1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2     1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3     1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4     1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "..   .. ..      ...        ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "472  17  男     4.23         68   8.27       72  208     66    10      72    0   \n",
       "473  17  男     5.19         40   9.55       50  210     66    15      80    6   \n",
       "474  17  男     3.25        100   7.50       80  252     90    13      76   13   \n",
       "475  17  男     4.39         62   7.81       76  208     66    14      78   11   \n",
       "476  17  男     0.00          0   0.00        0    0      0     0       0    0   \n",
       "\n",
       "     男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0        0  2785      62  170  72.599998  25.120001  \n",
       "1       60  3133      68  174  52.700001  17.410000  \n",
       "2        0  3901      80  169  46.500000  16.280001  \n",
       "3        0  4946     100  183  79.699997  23.799999  \n",
       "4       68  3538      74  171  54.700001  18.709999  \n",
       "..     ...   ...     ...  ...        ...        ...  \n",
       "472      0  4647     100  176  69.500000  22.440001  \n",
       "473     50  7042     100  177  76.000000  24.260000  \n",
       "474     85  5755     100  181  65.000000  19.840000  \n",
       "475     76  5688     100  172  51.700001  17.480000  \n",
       "476      0     0       0    0   0.000000   0.000000  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bs = pd.read_excel('./体测分数_男生.xls',\n",
    "               sheet_name = 0,\n",
    "               header = 0)\n",
    "bs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "guided-fault",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.01</td>\n",
       "      <td>74</td>\n",
       "      <td>9.67</td>\n",
       "      <td>68</td>\n",
       "      <td>165</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>1829</td>\n",
       "      <td>60</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.599998</td>\n",
       "      <td>18.379999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74</td>\n",
       "      <td>180</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>2962</td>\n",
       "      <td>85</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>21.070000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0       85  3775     100  163.0  51.299999  19.309999  \n",
       "1       66  3683     100  163.0  66.599998  25.070000  \n",
       "2       76  3331     100  157.0  60.000000  24.340000  \n",
       "3       85  3701     100  160.0  50.700001  19.799999  \n",
       "4       70  3592     100  167.0  63.900002  22.910000  \n",
       "..     ...   ...     ...    ...        ...        ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999  \n",
       "589     72  2937      85  161.0  55.700001  21.490000  \n",
       "590     72  2592      76  165.0  48.599998  17.850000  \n",
       "591     78  1829      60  154.0  43.599998  18.379999  \n",
       "592     85  2962      85  162.0  55.299999  21.070000  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs = pd.read_excel('./体测分数_女生.xls',\n",
    "                sheet_name = 0,\n",
    "                header = 0)\n",
    "gs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "guilty-paradise",
   "metadata": {},
   "source": [
    "# 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "regulated-ideal",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      优\n",
       "1      良\n",
       "2      优\n",
       "3      优\n",
       "4      差\n",
       "      ..\n",
       "472    优\n",
       "473    良\n",
       "474    差\n",
       "475    差\n",
       "476    优\n",
       "Name: 男引体分数, Length: 477, dtype: category\n",
       "Categories (3, object): ['优' < '良' < '差']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 男1000米跑分箱\n",
    "bs_run = pd.cut(bs.男1000米跑分数,\n",
    "            bins = 3,\n",
    "            labels = ['优','良','差'])\n",
    "bs_run\n",
    "# 男引体分箱\n",
    "bs_chinning = pd.cut(bs.男引体分数,\n",
    "            bins = 3,\n",
    "            labels = ['优','良','差'])\n",
    "bs_chinning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "welcome-continuity",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "差    219\n",
       "良    137\n",
       "优    121\n",
       "Name: 男引体分数, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aa = pd.value_counts(bs_run)\n",
    "aa \n",
    "bb = pd.value_counts(bs_chinning)\n",
    "bb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "lasting-addition",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男生1000米成绩')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制饼状图（1.字体 2.labels 3.大小 4.数据显示格式 ……\n",
    "matplotlib.rcParams['font.sans-serif'] = 'STZhongsong'\n",
    "labels = [\"优\",\"良\",\"差\"]\n",
    "fig = plt.figure(figsize = (5,5),dpi = 300)\n",
    "\n",
    "plt.pie(x = aa,\n",
    "            labels=labels,\n",
    "            autopct='%0.2f%%')\n",
    "\n",
    "plt.title(label='男生1000米成绩',\n",
    "         fontsize=10,\n",
    "         backgroundcolor='#c5b783',\n",
    "         weight='bold',\n",
    "         color='white',\n",
    "         pad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "organized-obligation",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男生引体向上成绩')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['font.sans-serif'] = 'STZhongsong'\n",
    "labels = [\"优\",\"良\",\"差\"]\n",
    "fig = plt.figure(figsize = (5,5),dpi = 300)\n",
    "\n",
    "plt.pie(x = bb,\n",
    "            labels=labels,\n",
    "            autopct='%0.2f%%')\n",
    "\n",
    "plt.title(label='男生引体向上成绩',\n",
    "         fontsize=10,\n",
    "         backgroundcolor='#c5b783',\n",
    "         weight='bold',\n",
    "         color='white',\n",
    "         pad=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cellular-spare",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Adobe Devanagari',\n",
       " 'Agency FB',\n",
       " 'Algerian',\n",
       " 'Arial',\n",
       " 'Arial Rounded MT Bold',\n",
       " 'Arial Unicode MS',\n",
       " 'Arvo',\n",
       " 'Bahnschrift',\n",
       " 'Baskerville Old Face',\n",
       " 'Bauhaus 93',\n",
       " 'Bell MT',\n",
       " 'Berlin Sans FB',\n",
       " 'Berlin Sans FB Demi',\n",
       " 'Bernard MT Condensed',\n",
       " 'Blackadder ITC',\n",
       " 'Bodoni Bd BT',\n",
       " 'Bodoni Bk BT',\n",
       " 'Bodoni MT',\n",
       " 'Book Antiqua',\n",
       " 'Bookman Old Style',\n",
       " 'Bookshelf Symbol 7',\n",
       " 'Bradley Hand ITC',\n",
       " 'Britannic Bold',\n",
       " 'Broadway',\n",
       " 'Brush Script MT',\n",
       " 'Calibri',\n",
       " 'Californian FB',\n",
       " 'Calisto MT',\n",
       " 'Cambria',\n",
       " 'Candara',\n",
       " 'Castellar',\n",
       " 'CentSchbkCyrill BT',\n",
       " 'Centaur',\n",
       " 'Century',\n",
       " 'Century Gothic',\n",
       " 'Century Schoolbook',\n",
       " 'Century725 Cn BT',\n",
       " 'Century751 BT',\n",
       " 'Century751 No2 BT',\n",
       " 'Century751 SeBd BT',\n",
       " 'Chiller',\n",
       " 'Clarendon BT',\n",
       " 'Clarendon Blk BT',\n",
       " 'Clarendon Lt BT',\n",
       " 'Colonna MT',\n",
       " 'Comic Sans MS',\n",
       " 'Consolas',\n",
       " 'Constantia',\n",
       " 'Cooper Black',\n",
       " 'Copperplate Gothic Bold',\n",
       " 'Copperplate Gothic Light',\n",
       " 'Corbel',\n",
       " 'Courier New',\n",
       " 'Curlz MT',\n",
       " 'DFGothic-EB',\n",
       " 'DFKaiSho-SB',\n",
       " 'DFMincho-SU',\n",
       " 'DFMincho-UB',\n",
       " 'DFMincho-W5',\n",
       " 'DFPOP1-W9',\n",
       " 'DeVinne Txt BT',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans Display',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif Display',\n",
       " 'DengXian',\n",
       " 'Droid Serif',\n",
       " 'Dubai',\n",
       " 'Ebrima',\n",
       " 'Edwardian Script ITC',\n",
       " 'Elephant',\n",
       " 'Embassy BT',\n",
       " 'Engravers MT',\n",
       " 'EngraversGothic BT',\n",
       " 'Eras Bold ITC',\n",
       " 'Eras Demi ITC',\n",
       " 'Eras Light ITC',\n",
       " 'Eras Medium ITC',\n",
       " 'Exotc350 Bd BT',\n",
       " 'Exotc350 DmBd BT',\n",
       " 'FZShuTi',\n",
       " 'FZYaoTi',\n",
       " 'FangSong',\n",
       " 'Felix Titling',\n",
       " 'Footlight MT Light',\n",
       " 'Forte',\n",
       " 'Franklin Gothic Book',\n",
       " 'Franklin Gothic Demi',\n",
       " 'Franklin Gothic Demi Cond',\n",
       " 'Franklin Gothic Heavy',\n",
       " 'Franklin Gothic Medium',\n",
       " 'Franklin Gothic Medium Cond',\n",
       " 'Freehand521 BT',\n",
       " 'Freestyle Script',\n",
       " 'French Script MT',\n",
       " 'Futura Bk BT',\n",
       " 'Futura Md BT',\n",
       " 'Gabriola',\n",
       " 'Gadugi',\n",
       " 'Garamond',\n",
       " 'GeoSlab703 Md BT',\n",
       " 'GeoSlab703 MdCn BT',\n",
       " 'Geometr212 BkCn BT',\n",
       " 'Geometr415 Blk BT',\n",
       " 'Geometr706 BlkCn BT',\n",
       " 'Georgia',\n",
       " 'Gigi',\n",
       " 'Gill Sans MT',\n",
       " 'Gill Sans MT Condensed',\n",
       " 'Gill Sans MT Ext Condensed Bold',\n",
       " 'Gill Sans Ultra Bold',\n",
       " 'Gill Sans Ultra Bold Condensed',\n",
       " 'Gloucester MT Extra Condensed',\n",
       " 'Goudy Old Style',\n",
       " 'Goudy Stout',\n",
       " 'Haettenschweiler',\n",
       " 'Harlow Solid Italic',\n",
       " 'Harrington',\n",
       " 'High Tower Text',\n",
       " 'HoloLens MDL2 Assets',\n",
       " 'Humanst521 BT',\n",
       " 'Humanst521 Lt BT',\n",
       " 'Humnst777 BT',\n",
       " 'Humnst777 Blk BT',\n",
       " 'Humnst777 BlkCn BT',\n",
       " 'Humnst777 Cn BT',\n",
       " 'Humnst777 Lt BT',\n",
       " 'Impact',\n",
       " 'Imprint MT Shadow',\n",
       " 'Indie Flower',\n",
       " 'Informal Roman',\n",
       " 'Ink Free',\n",
       " 'Javanese Text',\n",
       " 'Jokerman',\n",
       " 'Juice ITC',\n",
       " 'KaiTi',\n",
       " 'Kaufmann BT',\n",
       " 'Kristen ITC',\n",
       " 'Kunstler Script',\n",
       " 'Leelawadee',\n",
       " 'Leelawadee UI',\n",
       " 'LiSu',\n",
       " 'Lobster',\n",
       " 'Lucida Bright',\n",
       " 'Lucida Calligraphy',\n",
       " 'Lucida Console',\n",
       " 'Lucida Fax',\n",
       " 'Lucida Handwriting',\n",
       " 'Lucida Sans',\n",
       " 'Lucida Sans Typewriter',\n",
       " 'Lucida Sans Unicode',\n",
       " 'MS Gothic',\n",
       " 'MS Outlook',\n",
       " 'MS Reference Sans Serif',\n",
       " 'MS Reference Specialty',\n",
       " 'MV Boli',\n",
       " 'Magneto',\n",
       " 'Maiandra GD',\n",
       " 'Malgun Gothic',\n",
       " 'Marlett',\n",
       " 'Matura MT Script Capitals',\n",
       " 'Microsoft Himalaya',\n",
       " 'Microsoft JhengHei',\n",
       " 'Microsoft New Tai Lue',\n",
       " 'Microsoft PhagsPa',\n",
       " 'Microsoft Sans Serif',\n",
       " 'Microsoft Tai Le',\n",
       " 'Microsoft Uighur',\n",
       " 'Microsoft YaHei',\n",
       " 'Microsoft Yi Baiti',\n",
       " 'MingLiU-ExtB',\n",
       " 'Mistral',\n",
       " 'Modern No. 20',\n",
       " 'Mongolian Baiti',\n",
       " 'Monotype Corsiva',\n",
       " 'Myanmar Text',\n",
       " 'News701 BT',\n",
       " 'News706 BT',\n",
       " 'NewsGoth BT',\n",
       " 'NewsGoth Cn BT',\n",
       " 'NewsGoth Lt BT',\n",
       " 'Niagara Engraved',\n",
       " 'Niagara Solid',\n",
       " 'Nirmala UI',\n",
       " 'OCR A Extended',\n",
       " 'OCR-A BT',\n",
       " 'OCR-B 10 BT',\n",
       " 'Old English Text MT',\n",
       " 'Onyx',\n",
       " 'Open Sans',\n",
       " 'Palace Script MT',\n",
       " 'Palatino Linotype',\n",
       " 'Papyrus',\n",
       " 'Parchment',\n",
       " 'Perpetua',\n",
       " 'Perpetua Titling MT',\n",
       " 'Playbill',\n",
       " 'Poiret One',\n",
       " 'Poor Richard',\n",
       " 'Pristina',\n",
       " 'Rage Italic',\n",
       " 'Raleway',\n",
       " 'Ravie',\n",
       " 'Roboto',\n",
       " 'Roboto Condensed',\n",
       " 'Roboto Slab',\n",
       " 'Rockwell',\n",
       " 'Rockwell Condensed',\n",
       " 'Rockwell Extra Bold',\n",
       " 'STCaiyun',\n",
       " 'STFangsong',\n",
       " 'STHupo',\n",
       " 'STIXGeneral',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeFiveSym',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'STKaiti',\n",
       " 'STLiti',\n",
       " 'STSong',\n",
       " 'STXihei',\n",
       " 'STXingkai',\n",
       " 'STXinwei',\n",
       " 'STZhongsong',\n",
       " 'Schadow BT',\n",
       " 'Script MT Bold',\n",
       " 'Segoe MDL2 Assets',\n",
       " 'Segoe Print',\n",
       " 'Segoe Script',\n",
       " 'Segoe UI',\n",
       " 'Segoe UI Emoji',\n",
       " 'Segoe UI Historic',\n",
       " 'Segoe UI Symbol',\n",
       " 'Showcard Gothic',\n",
       " 'SimHei',\n",
       " 'SimSun',\n",
       " 'SimSun-ExtB',\n",
       " 'Sitka Small',\n",
       " 'Snap ITC',\n",
       " 'Source Code Pro',\n",
       " 'Square721 BT',\n",
       " 'Square721 Cn BT',\n",
       " 'Stencil',\n",
       " 'Swis721 BT',\n",
       " 'Swis721 Blk BT',\n",
       " 'Swis721 BlkCn BT',\n",
       " 'Swis721 Cn BT',\n",
       " 'Swis721 Hv BT',\n",
       " 'Swis721 Lt BT',\n",
       " 'Swis721 LtEx BT',\n",
       " 'Swis721 WGL4 BT',\n",
       " 'Sylfaen',\n",
       " 'Symbol',\n",
       " 'Tahoma',\n",
       " 'Tempus Sans ITC',\n",
       " 'Times New Roman',\n",
       " 'Trebuchet MS',\n",
       " 'Tw Cen MT',\n",
       " 'Tw Cen MT Condensed',\n",
       " 'Tw Cen MT Condensed Extra Bold',\n",
       " 'TypoUpright BT',\n",
       " 'Verdana',\n",
       " 'Viner Hand ITC',\n",
       " 'Vivaldi',\n",
       " 'Vladimir Script',\n",
       " 'Webdings',\n",
       " 'Wide Latin',\n",
       " 'Wingdings',\n",
       " 'Wingdings 2',\n",
       " 'Wingdings 3',\n",
       " 'YouYuan',\n",
       " 'Yu Gothic',\n",
       " 'ZWAdobeF',\n",
       " 'cmb10',\n",
       " 'cmex10',\n",
       " 'cmmi10',\n",
       " 'cmr10',\n",
       " 'cmss10',\n",
       " 'cmsy10',\n",
       " 'cmtt10'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib.font_manager import FontManager\n",
    "fm = FontManager()\n",
    "mat_fonts = set(f.name for f in fm.ttflist)\n",
    "mat_fonts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tired-administration",
   "metadata": {},
   "source": [
    "# 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "temporal-finland",
   "metadata": {},
   "outputs": [],
   "source": [
    "cc = gs['女800米跑分数']\n",
    "dd = gs['女跳远分数']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "saving-mortgage",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女800米跑分数段人数统计')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图绘制 关键参数：数据、bins、labels\n",
    "plt.hist(cc,bins=4,facecolor=\"darkorange\")\n",
    "plt.xlabel(\"分数分布\")\n",
    "plt.ylabel(\"人数\")\n",
    "plt.title(\"女800米跑分数段人数统计\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "greek-exhaust",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女跳远分数段人数统计')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(dd,bins=4,facecolor=\"darkgreen\")\n",
    "plt.xlabel(\"分数分布\")\n",
    "plt.ylabel(\"人数\")\n",
    "plt.title(\"女跳远分数段人数统计\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "limited-expense",
   "metadata": {},
   "source": [
    "# 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "aging-opportunity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     355\n",
       "超重      58\n",
       "肥胖      38\n",
       "低体重     26\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 利用分箱操作处理男BMI\n",
    "bs_BMI = pd.cut(bs.BMI,\n",
    "            bins = [0,16.5,23.3,26.4,100],\n",
    "            right = False,\n",
    "            labels = ['低体重','正常','超重','肥胖'])\n",
    "ee = pd.value_counts(bs_BMI)\n",
    "ee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "silver-investor",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     449\n",
       "超重      82\n",
       "肥胖      44\n",
       "低体重     18\n",
       "Name: BMI, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 女分箱数据 \n",
    "gs_BMI = pd.cut(gs.BMI,\n",
    "            bins = [0,16.5,22.8,25.3,100],\n",
    "            right = False,\n",
    "            labels = ['低体重','正常','超重','肥胖'])\n",
    "ff = pd.value_counts(gs_BMI)\n",
    "ff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "encouraging-athens",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 嵌套饼图绘制 关键参数\n",
    "fig,ax = plt.subplots()\n",
    "labels = ['低体重','正常','超重','肥胖']\n",
    "ax.pie(ee,\n",
    "            radius = 1.4 ,\n",
    "            colors=['red','orange','peru','deeppink'],\n",
    "            pctdistance = 1.2,\n",
    "            autopct = '%0.1f%%',\n",
    "            wedgeprops=dict(linewidth=1,width=1.4,alpha=0.7,edgecolor='black'))\n",
    "ax.pie(ff,\n",
    "            radius = 1,\n",
    "            colors=['red','orange','peru','deeppink'],\n",
    "            pctdistance = 0.7,\n",
    "            autopct = '%0.1f%%',\n",
    "            wedgeprops=dict(linewidth=1,width=1,edgecolor='black'))\n",
    "plt.title(label='男、女生体重指数分布情况',\n",
    "         fontsize=12,\n",
    "         color='black',\n",
    "         pad=20)\n",
    "plt.legend(labels,loc = 'right',bbox_to_anchor = (0.3,1,1,0.2),title ='BMI情况')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
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 },
 "nbformat": 4,
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}
